Immense random colocalization, revealed by automated high content image cytometry, seriously questions FISH as gold

Gábor Smuk1, Tamás Tornóczky1, László Pajor1

  • 1Department of Pathology, University of Pécs Medical School, Hungary.

Insights

Dual color break-apart FISH for EML4-ALK gene fusions in NSCLC shows high specificity but low sensitivity due to random signal co-localization. This impacts accurate ALK testing for targeted therapies.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Cytogenetics

Background:

  • EML4-ALK gene fusions are key biomarkers in non-small cell lung cancer (NSCLC), predicting response to tyrosine kinase inhibitors.
  • Dual color (DC) break-apart (BA) FISH is a gold standard diagnostic, but its accuracy for inv2(p21p23) is questioned due to potential random co-localization (RCL) of signals.

Purpose of the Study:

  • To quantify the level of random co-localization (RCL) in DC BA FISH for EML4-ALK detection in NSCLC.
  • To determine the impact of RCL on the diagnostic sensitivity and specificity of this technique for inv2(p21p23).

Main Methods:

  • Automated high-content image cytometry analyzed signal distances in over 25,000 nuclei with 0.1 µm precision.
  • Negative and positive controls were established using conventional DC BA and mimicking probe-sets for inv2(p21p23).

Main Results:

  • Significant overlap (41%) in signal distribution between positive and negative controls was observed, indicating substantial RCL.
  • DC BA FISH demonstrated high specificity (97%) but critically low sensitivity (29%) for detecting inv2(p21p23), with 70% of aberrant nuclei falsely classified as negative.
  • Extreme RCL was identified as the primary cause of analytical false negativity, exacerbated by tumor heterogeneity and non-tumor cell dilution.

Conclusions:

  • Current DC BA FISH protocols exhibit high false negativity for inv2(p21p23) detection in NSCLC due to extensive RCL.
  • To maintain FISH as a gold standard for inv(2) detection, modifications to evaluation protocols or probe design are essential to overcome the limitations of RCL.

Related Concept Videos

Nuclear Fusion02:45

Nuclear Fusion

The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
33.9K
Osmoregulation in Fishes02:32

Osmoregulation in Fishes

When cells are placed in a hypotonic (low-salt) fluid, they can swell and burst. Meanwhile, cells in a hypertonic solution—with a higher salt concentration—can shrivel and die. How do fish cells avoid these gruesome fates in hypotonic freshwater or hypertonic seawater environments?
53.2K
Random Error01:04

Random Error

Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
9.8K
Random Variables01:09

Random Variables

A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.9K
Randomized Experiments01:13

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
9.1K
Stereotype Content Model02:16

Stereotype Content Model

The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.5K